Hi Wouter,
I'm not an sp developer. Anyway, I think you should take into account
memory issues for hydrological modelling. So, depending on the functions
you are preparing, to include all the attributes of sp classes in time
series (either spatially lumped or distributed) passed as arguments to the
underlying functions (I guess C code), may make your code slower (e.g., if
it is to conduct MC runs or optimizations). So, perhaps some functions
should be stripped of all attributes, mostly if spatial distributed models
are to be used. Of course this may not apply within a very few years.
Best wishes,
Javier
---
Javier García-Pintado
Euromediterranean Water Institut
75 Trotsworth Court
Christchurch Road
Virginia Water
GU25 4H
Surrey
United Kingdom
>> Hi all,
>> this question is mainly aimed at the developers of sp, but any feedback is
> welcome.
>> We are designing some classes for hydrological modelling in R (the r-hydro
> package on R-Forge) and facing the decision of how to design a class for
> georeferenced time series (e.g., a precipitation or river flow series,
> the first referring to a point and the second to an area).
>> We're considering an xts time series with an sp object as attribute, but
> there may be other options (xts as data slot in an sp object for instance)
> that may be preferrable for reasons beyond my knowledge. Also, there may
> be similar efforts underway of which we have no knowledge.
>> cheers
> wouter
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